The Ultimate Guide to Identity for AI For FSI Leaders
As AI agents become embedded across enterprise operations, identity is emerging as the foundation for secure AI adoption. Traditional IAM approaches weren't built to govern autonomous agents acting on behalf of users and systems, creating new risks around credential misuse, accountability, and access control. In fact, Gartner predicts that by 2028, 90% of digital commerce organizations that allow humans to share credentials with AI agents will experience a threefold increase in account takeover and first-party fraud.
Report Snap Shot
This Report Covers:
- Why AI agents require a new identity model beyond traditional IAM
- How delegated access, least privilege, and human oversight improve AI governance
- The four foundational pillars for securing AI agents across enterprise environments
- Why 90% of organizations allowing credential sharing with AI agents are expected to see significantly higher fraud and account takeover risk by 2028